PairGrid
PairGrid
is a subplot grid for plotting pairwise relationships in a dataset.
This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.






import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
df = pd.read_csv('filename.csv')
# Creating the PairGrid variable
g = sns.PairGrid(df)
# Setting diagonale plots
g.map_diag(sns.histplot)
# Setting non-diagonal plots
g.map_offdiag(sns.scatterplot)
plt.show()
Swipe to start coding
- Set the
'ticks'
style with the'lightpink'
figure.facecolor
. - Create a
PairGrid
variable usingg
:
- Set the data for the
g
; - Set the
hue
parameter equals the'species'
; - Set the
'rocket_r'
palette.
Set diagonale plots using the .map_diag()
function:
- Create a
histplot
using theseaborn
; - Add the
kde
parameter.
Set non-diagonale plots using the .map_offdiag()
function:
- Create a
scatterplot
using theseaborn
; - Set the
linewidth
parameter equals0.9
; - Set the
'purple'
edgecolor
parameter.
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PairGrid
Sveip for å vise menyen
PairGrid
is a subplot grid for plotting pairwise relationships in a dataset.
This object maps each variable in a dataset onto a column and row in a grid of multiple axes. Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, and then the marginal distribution of each variable can be shown on the diagonal.






import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
df = pd.read_csv('filename.csv')
# Creating the PairGrid variable
g = sns.PairGrid(df)
# Setting diagonale plots
g.map_diag(sns.histplot)
# Setting non-diagonal plots
g.map_offdiag(sns.scatterplot)
plt.show()
Swipe to start coding
- Set the
'ticks'
style with the'lightpink'
figure.facecolor
. - Create a
PairGrid
variable usingg
:
- Set the data for the
g
; - Set the
hue
parameter equals the'species'
; - Set the
'rocket_r'
palette.
Set diagonale plots using the .map_diag()
function:
- Create a
histplot
using theseaborn
; - Add the
kde
parameter.
Set non-diagonale plots using the .map_offdiag()
function:
- Create a
scatterplot
using theseaborn
; - Set the
linewidth
parameter equals0.9
; - Set the
'purple'
edgecolor
parameter.
Løsning
Takk for tilbakemeldingene dine!
Awesome!
Completion rate improved to 4.35single